Результаты поиска

Risk of second primary cancer among breast cancer patients: A systematic review and meta-analysis.

ObjectivesThe aim of this study was to estimate the extra risk of second primary cancer among breast cancer patients.Methods and materialsThis is a systematic review. A comprehensive search of literature was performed in PubMed, Web of Science, Cochrane library, and Scopus. The search included all published studies up to October 2022. This systematic review included studies published in the English language that reported the risk of second primary non-breast cancer [i.e., standardized incidence ratio (SIR)] among breast cancer patients older than 15 years. After evaluating the methodological q

Medium to long term follow-up of survival and quality of life in patients with primary tumors of the cervical spine: Experience From a large single center.

ObjectivesTo evaluate the survival and medium to long term health-related quality of life (HRQoL) of patients with primary cervical spinal tumors in a cross-sectional study and to identify any significant associations with demographic or clinical characteristics.MethodsPatients diagnosed with primary cervical spinal tumors were retrospectively enrolled and their clinical, radiologic, and follow-up data (specifically the EQ-5D questionnaire) were collected. Univariate and multivariate Cox time-dependent regression analyses were performed to examine the significance of certain variables on overa

Immunoglobulin substitution in patients with secondary antibody deficiency in chronic lymphocytic leukemia and multiple myeloma: a representative analysis of guideline adherence and infections.

INTRODUCTION: In secondary immunodeficiency, immunoglobulin replacement therapy (IgRT) is recommended by guidelines (GL) for patients with IgG level < 4 g/l and more than 3 infections or a severe infection. IgRT may be appropriate if IgG level < 4 g/l and/or 1-3 less severe infections (≤ grade 2). METHODS: This was a retrospective sample analysis representative for practices and hospitals in Germany. The treatments and infection data were collected from patients with chronic lymphocytic leukemia (CLL) and multiple myeloma (MM). GL adherence (GLAD) was analyzed. RESULTS: Data from 1086 patien

Прямая вторая аутологическая трансплантация стволовой клетки Versus Редукция после Трансплантации в Replaned Multieloma: Multicenter Real-World Study.

Справочная информация: Остается неясным, должны ли пациенты с повторной миеломой (ММ) перейти непосредственно на вторую аутологическую трансплантацию стволовых клеток (ASCT2) или пройти химиотерапию перед введением. В реальной практике распределение услуг по лечению является весьма разнородным, и сравнительные данные о воздействии pre-ASCT2 Стратегия обеспечения выживания носит ограниченный характер, отчасти потому, что ASCT2 резервируется за отдельными пациентами и не выполняется на регулярной основе во всех случаях рецидива MM. Мы стремились оценить реальные результаты ACT2, полученные либо

Translating Data Science Results into Precision Oncology Decisions: A Mini Review.

While reviewing and discussing the potential of data science in oncology, we emphasize medical imaging and radiomics as the leading contextual frameworks to measure the impacts of Artificial Intelligence (AI) and Machine Learning (ML) developments. We envision some domains and research directions in which radiomics should become more significant in view of current barriers and limitations.

Electroacupuncture for thalidomide/bortezomib-induced peripheral neuropathy in multiple myeloma: a feasibility study.

BackgroundThis single-arm study evaluated feasibility, safety, and initial efficacy of electroacupuncture for thalidomide/bortezomib-induced peripheral neuropathy (PN) in cancer patients with multiple myeloma.MethodsPatients with neuropathy ≥ grade 2 received 20 acupuncture treatments over 9 weeks.ResultsFor the 19 evaluable patients, Functional Assessment of Cancer Therapy/Gynecological Oncology Group-Neurotoxicity (FACT/GOG/NTX) mean (SD) scores improved significantly between baseline and week 13 (20.8 [9.6] vs 13.2 [8.5], p = 0.0002). Moderate effect size differences began on week 4, with t

Post-treatment infection prediction in CLL using domain adaptation of lymphoma electronic health records.

Background and purposeInfections are the leading cause of morbidity and mortality in patients with chronic lymphocytic leukemia (CLL) and occur during and after treatment. When deciding on the type of CLL treatment, the risk of infections is typically assessed based only on age and comorbidities; therefore, there is a need to develop a predictive model that incorporates information from multiple data sources. However, training an effective machine learning model requires a large sample size. Patient/material and methods: In this study, we developed a machine learning approach using domain adap

- Имитационная оценка соответствия режима дозировки многочисленным миеломным лекарствам, отражающим демографические и этнические различия.

Из-за трудностей, связанных с проведением клинических испытаний в небольших и неоднородных группах населения, часто не проводятся исследования, посвященные таким болезням сирот, как множественная миелома (ММ). Вместе с тем демографические и региональные различия между участниками испытаний и азиатскими группами населения могут влиять на воздействие наркотиков и принимаемые меры реагирования. В этом исследовании была проведена оценка потенциальных различий в воздействии наркотиков и реакции на них между многонациональными клиническими пробными группами населения (ТП) и корейскими пациентами (КП

Bone metastasis and pain research through the dual lens of bibliometrics and bioinformatics: knowledge structure, frontiers, and core pathway analysis (2015-2024).

BackgroundCancer-induced bone pain (CIBP) represents a formidable clinical challenge with complex mechanisms, and existing treatments remain unable to effectively control pain in many patients. This study combined bibliometric and bioinformatic approaches to delineate key research trends, principal themes and future directions in the field of bone metastasis and pain research over the past decade (2015-2024).MethodsWe selected 1,822 relevant documents from the Web of Science Core Collection for bibliometric analysis to identify major research characteristics, collaboration networks and emergin

Совпадение в полном тексте источника
… Large language models in healthcare: a bibliometric analysis and examination of research trends . J Multidiscip Healthc . ( 2025 ) 18 : 223 – 38 . doi: 10.2147/JMDH.S502351 39844924 PMC11750729 12. Zajączkowska R Kocot-Kępska M Leppert W Wordliczek J . …

AI-assisted diagnosis of neuro-ophthalmic disorders: a systematic review from optic neuritis to papilledema.

BACKGROUND: Neuro-ophthalmic disorders like optic neuritis and papilledema are diagnostically challenging, with non-specific symptoms and reliance on expert interpretation of optic nerve head imaging (Liu TYA et al. J Neuroophthalmol. 41(3):368–74, 2021). Misdiagnosis can lead to severe consequences, including irreversible vision loss or failure to detect life-threatening conditions. Artificial intelligence (AI), particularly deep learning (DL), shows promise but its application in this nuanced field is not well-defined. OBJECTIVE: This systematic review evaluates the current state of AI in di

Гематологические испытания на предмет злоумышленничества в Китае, 2013-2022:: анализ ландшафта с научно-исследовательской макроуровневой корреляцией.

С учетом растущего бремени гематологических заболеваний в материковой части Китая систематический анализ клинических испытаний имеет важное значение для развития переводческой медицины, поскольку эти испытания служат важнейшей связующим звеном между лабораторными открытиями и клиническими прикладными методами. Данное исследование позволило объединить регистрационные данные Центра по оценке наркотиков, Китайского регистра клинических испытаний и Клинических Обвинений. 2013 и 2022. С помощью регрессии по принципу &lt; &lt; объединение точек &gt; &gt; и описательного анализа временнóй корреляции

Partnership, sexuality, and fertility-related communication: findings from a register-based study among long-term hematological cancer survivors.

PURPOSE: Even though the number of hematological cancer survivors suffering from long-term and late consequences of their disease is growing, knowledge about their situation regarding partnership, sexuality, and fertility-related communication is sparse to date. METHODS: We recruited survivors of hematological malignancies (≥ 3 years after diagnosis) from two cancer registries in Germany. We applied validated instruments and study-specific items on satisfaction with partnership, sexual functioning, and fertility-related communication with physicians. We provided descriptive statistics and con

Wearable sensor-based performance status assessment in cancer: A pilot multicenter study from the Alliance for Clinical Trials in Oncology (A19_Pilot2).

Clinical performance status is designed to be a measure of overall health, reflecting a patient's physiological reserve and ability to tolerate various forms of therapy. Currently, it is measured by a combination of subjective clinician assessment and patient-reported exercise tolerance in the context of daily living activities. In this study, we assess the feasibility of combining objective data sources and patient-generated health data (PGHD) to improve the accuracy of performance status assessment during routine cancer care. Patients undergoing routine chemotherapy for solid tumors, routine

Construction and validation of nomogram prediction model for anxiety and depression in chemotherapy patients with multiple myeloma.

ObjectiveTo construct and validate a nomogram prediction model for anxiety and depression in chemotherapy patients with multiple myeloma (MM).MethodsFrom May 2021 to May 2023, 333 MM chemotherapy patients treated at our hospital were selected. The patients were randomly divided into a modeling group and a validation group in a 7:3 ratio (using a random number table method). According to whether the modeling group patients had anxiety and depression, they were grouped into a non-anxiety and depression group and an anxiety and depression group; a nomogram model constructed using R software was b

The obesity paradox in critically ill patients: a causal learning approach to a casual finding.

BackgroundWhile obesity confers an increased risk of death in the general population, numerous studies have reported an association between obesity and improved survival among critically ill patients. This contrary finding has been referred to as the obesity paradox. In this retrospective study, two causal inference approaches were used to address whether the survival of non-obese critically ill patients would have been improved if they had been obese.MethodsThe study cohort comprised 6557 adult critically ill patients hospitalized at the Intensive Care Unit of the Ghent University Hospital be

Воздействие систем телемониторинга на лечение раковых заболеваний: систематический обзор.

В рамках этого систематического обзора оценивается воздействие, пригодность для использования, техническая эффективность и применение систем телемониторинга при лечении рака у взрослых. Этот систематический обзор проводился в соответствии с предпочтительными принципами отчетности для системных обзоров и мета-анализов и коллегиального обзора стратегий электронного поиска. Пубмед, МЕДЛИНА и КИНАХЛ были обысканы с июня 2013 по март 2025. Термины &quot; поиск &quot; охватывают лечение раковых заболеваний, системы телемониторинга, мобильное медицинское обслуживание (медицинское здоровье), электронн

Integrating digital and narrative medicine in modern healthcare: a systematic review.

The increasing integration of digital technologies in healthcare, such as electronic health records, telemedicine, and diagnostic algorithms, improved efficiency but raised concerns about the depersonalization of care. Narrative medicine has emerged as a pedagogical and clinical response to this shift, emphasizing the value of patient stories, socio-cultural contexts, and reflective practice. Understanding how digital tools support, rather than undermine, narrative competencies is critical for developing a more human-centered healthcare education. This review systematically examined empirical

Революционизация медицины сна: влияние машинного обучения на диагностику, лечение и индивидуальное лечение.

Преобразовательным инструментом в медицине сна стало обучение основам махинации (ML), предлагающее новаторские решения для диагностики, лечения и понимания расстройств сна. В настоящем обзоре рассматривается нынешнее состояние и будущий потенциал применения ML в этой области. Methods Мы провели всеобъемлющий обзор литературы с уделением особого внимания ключевым достижениям в области технологий ML, применяемых для лечения сна. Были изучены, в частности, такие конкретные области, как классификация стадий сна, оптимизация лечения апноэ и бессонницы сна, а также внедрение износостойкой технологии

'Lessons learned' from trialists who adapted a complex intervention for remote delivery within a trial as a result of the COVID-19 pandemic: a scoping review.

BackgroundDuring the COVID-19 pandemic, complex interventions being evaluated in randomised controlled trials were often rapidly adapted from in-person to remote delivery. Such adaptations to intervention delivery have the potential to cause unintended consequences and affect important aspects of trial generalisability and interpretation. This scoping review aimed to identify the 'lessons learned' from trialists who adapted and remotely delivered a complex intervention within a trial because of the COVID-19 pandemic. Gaining a better understanding of trialists' experiences of adapting interven

Непрозрачная онтология: нейроимAGING классификация групп диагнозов ICD-10 в UK Biobank.

Фон. Использование машинного обучения для классификации диагностических случаев по сравнению с контролем, определенным на основе диагностических онтологий, таких как десятая редакция Международной классификации болезней (ICD-10), на основе нейровизуальных признаков, сейчас является распространенной практикой в широком спектре диагностических областей. Однако сравнения, которые пересекают диагностику (transdiagnostic), таких классификаций отсутствуют. Такие трансдиагностические сравнения важны для определения специфичности классификационных моделей, установления бенчмарков и оценки ценности диа